Every organization, big or small has tons of data that needs to be managed. We at oxo solutions have the right technology and right workforce to help you manage the data that your business generates. We can help you build a Data Warehouse with Data Extraction, Transformation, and Loading as per the requirements of your organization.
What is Data Warehousing?
Every business strives to make efficient decisions and a data warehouse helps you with it. Having a data warehouse saves your time, improves business intelligence, generates high ROI, enhances the data quality as well as consistency, and refines the decision-making process. The quality of the data warehouse also matters, having the best implies that the organization is able to forecast and upgrade the overall performance. The data can be sorted on different subject matters such as products, customers, or business activities.
Ensures consistency. This is because data warehouses implement a uniform format to all the collected data. This brings ease in corporate decision-making for analyzing and sharing data insights with their colleagues around the globe. Data standardizing from different sources also implies the reduction in error risk in interpretation and upgrading overall accuracy.
Revamped bottom line. It helps in quick access to the company's historical activities and assesses initiatives that have been successful or unsuccessful in the past. This helps the executives to change their strategy to reduce costs, maximize efficiency and increase sales to revamp the bottom line.
Make superior business decisions. Successful corporate leaders depend on data-driven strategies and seldom make decisions without considering facts. Corporate decision-makers find it an easy and efficient method to derive insights that assist the business and marketing strategies to stay ahead of their competitors.
For greater competition, storing data is not enough, but it is also important that the data is integrated in the same place so that it becomes a business asset. To achieve this, an ETL process must be carried out by the organizations.
ETL stands for (Extract, Transform, Load). This system enables organizations to move data from different sources such as ERP, CRM, Excel, Open Data, Internet Of Things, Social Networks, to merge them into a single place, which could be a data warehouse, a database, and so on..
Data Transformation Process: In this step, the data is transformed into the structure we have defined in our data warehouse. The transformation step includes technical validations (duplicates, integrity, nulls...), validation actions on business rules, format changes, code normalization, and homogenization, as well as filtering, sorting, crosses, and aggregates.
Data Loading: This is the last phase of the process. The transformed data starts to load in the data warehouse and got registered there. It can be audited and stores history over time.